兵工自动化2018，Vol.37Issue(4)：23-27,5.DOI:10.7690/bgzdh.2018.04.006
无人机自主着陆过程中的视觉导航技术分析
Analysis of Vision-based Navigation for Autonomous Landing of Unmanned Aerial Vehicle
柳向阳 1唐大全 2邓伟栋 1汤芳芳3
作者信息
- 1. 海军航空大学研究生管理大队,山东 烟台 264001
- 2. 海军航空大学控制工程系,山东 烟台 264001
- 3. 海军91286通信站,山东 青岛 266000
- 折叠
摘要
Abstract
In order to solve the problem that the unmanned aerial vehicle (UAV) is difficult to realize automatic landing at home and abroad, the vision-based navigation technology in the UAV landing process was studied. The landing and landing phases of aircraft was introduced. The image processing technology and pose estimation problem of UAV landing process was analyzed respectively, especially the image feature extraction technology and iterative algorithm of position and attitude estimation during landing. The research results showed that: combining the vision-based navigation with other navigation modes, developing the integrated navigation pose estimation and fusion algorithm with good robustness, high accuracy and good real-time would be the development focus of future vision navigation.关键词
无人机/视觉导航/特征提取/位姿估计Key words
unmanned aerial vehicle/vision-based navigation/feature extraction/pose estimation分类
信息技术与安全科学引用本文复制引用
柳向阳,唐大全,邓伟栋,汤芳芳..无人机自主着陆过程中的视觉导航技术分析[J].兵工自动化,2018,37(4):23-27,5.
